1) PoseGait [1]} first exploits OpenPose [2]} to extract the 2D keypoints from RGB frames, then uses the method in [3]} to estimate the 3D keypoints of human bodies.
Based on the 3D skeletons, it defines several parameters such as joint angle, limb length, and joint motion together with the pose features as the gait representation.
In our implementation, we train it for 700 epochs with a batch size of 128.
The LR is set to 1e-3.
The optimizer is Adam [4]} and weight decay is equal to 5e-4.
